معرفی
Guangquan Li is an Assistant Professor in the Department of Mathematics, Physics and Electrical Engineering at Northumbria University. He specializes in spatial and spatiotemporal modeling, Bayesian hierarchical models, and their applications in public health, environmental risk assessment, and criminology. He holds a PhD in Statistics from Imperial College London (2008), focusing on mathematical modeling of carcinogenesis.
- Education:
- PhD in Statistics (2008), Imperial College London
Research Interests:
- Spatiotemporal modeling of disease spread and mortality
- Wastewater-based epidemiology for pandemic surveillance
- Public health policy analysis using Bayesian methods
- Spatial accessibility of healthcare services
- Criminology data analysis and crime pattern modeling
Recent Research Focus: His work integrates wastewater data with prevalence surveys for national health surveillance (e.g., COVID-19 tracking), spatial analysis of urban health disparities, and Bayesian modeling of heterogeneous environmental data. He has contributed to high-impact studies on life expectancy trends and environmental risk factors in London.
Grants & Projects:
- Co-Investigator on the UKRI-funded project 'COVID-19: Observatory for Monitoring Data-Driven Approaches to COVID-19' (2020–2021)
Collaborations: Active in global research networks, focusing on interdisciplinary applications of spatial statistics in public health and criminology.
